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Senior Enterprise Solutions Manager

Leads operational delivery for complex enterprise AI engagements, aligning commercial, client, and engineering stakeholders while building scalable processes and performance frameworks. The role requires 5–8+ years of analytical and operational leadership experience, executive client presence, strong project management, and mentoring capability.

About the job

Responsibilities

  • Drive end-to-end operational delivery for complex, high-stakes enterprise AI engagements.
  • Align commercial teams, executive clients, engineering teams, and technical leadership on requirements, objectives, and execution.
  • Partner with account Technical Leads as the operational counterpart for resource alignment, execution, and risk mitigation.
  • Lead delivery across multiple concurrent workstreams and optimize technical ceremonies, including stand-ups, sprint planning, and Jira backlog grooming.
  • Advise senior client stakeholders, including VP- and C-suite leaders, with data-driven insights on engagement progress and operational ROI.
  • Structure ambiguous client problems into actionable delivery frameworks.
  • Build and scale zero-to-one operational processes for bespoke use cases.
  • Develop quantitative business cases, establish KPIs, and lead performance analysis and workflow optimization.
  • Mentor Enterprise Solutions Managers and upskill operational and delivery teams.

Requirements

  • 5–8+ years of analytical and operational leadership experience in top-tier management consulting or a high-growth technology environment.
  • Experience in roles such as MBB Engagement Manager, Big 4 Manager/Senior Manager, Senior BizOps, Strategy & Operations, or Strategic Delivery.
  • Strong executive presence and experience leading complex, multi-stakeholder enterprise accounts.
  • Demonstrated ability to advise and influence C-level and VP-level stakeholders.
  • Experience mentoring junior team members and building high-performing delivery teams.
  • Experience creating complex operations, delivery frameworks, and scalable processes for multi-million-dollar enterprise programs.
  • Experience gathering requirements from commercial or go-to-market teams and collaborating with technical leaders and engineers on software, automation, or AI solutions.
  • Exceptional project-management skills, including breaking down ambiguous projects into actionable workstreams.
  • Bias toward action, ownership mentality, and comfort working in fast-paced, highly ambiguous environments.

Compensation

  • Salary range: $176,000–$207,000 USD.
  • Offers also include bonus and equity.
  • Final compensation varies based on location, experience, skills, knowledge, internal pay equity, and market conditions.
  • Compensation for candidates outside the U.S. is adjusted for local market conditions and cost of living.

Skills

AI, Jira, Agile, Project Management, Technical Project Management, Business Operations, Strategy And Operations, Quantitative Analysis, Kpi Development, Requirements Gathering, Process Design, Workflow Optimization, Stakeholder Management, Executive Communication, Management Consulting

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